REVISING THE HALOFIT MODEL FOR THE NONLINEAR MATTER POWER SPECTRUM
Based on a suite of state-of-the-art high-resolution N-body simulations, we revisit the so-called halofit model as an accurate fitting formula for the nonlinear matter power spectrum. While the halofit model has frequently been used as a standard cosmological tool to predict the nonlinear matter pow...
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Veröffentlicht in: | The Astrophysical journal 2012-12, Vol.761 (2), p.1-10 |
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Sprache: | eng |
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Zusammenfassung: | Based on a suite of state-of-the-art high-resolution N-body simulations, we revisit the so-called halofit model as an accurate fitting formula for the nonlinear matter power spectrum. While the halofit model has frequently been used as a standard cosmological tool to predict the nonlinear matter power spectrum in a universe dominated by cold dark matter, its precision has been limited by the low resolution of N-body simulations used to determine the fitting parameters, suggesting the necessity of an improved fitting formula at small scales for future cosmological studies. We run high-resolution N-body simulations for 16 cosmological models around the Wilkinson Microwave Anisotropy Probe best-fit cosmological parameters (one-, three-, five-, and seven-year results), including dark energy models with a constant equation of state. The simulation results are used to re-calibrate the fitting parameters of the halofit model so as to reproduce small-scale power spectra of the N-body simulations, while keeping the precision at large scales. The revised fitting formula provides an accurate prediction of the nonlinear matter power spectrum in a wide range of wavenumbers (k [< or =, slant] 30h Mpc super(-1)) at redshifts 0 [< or =, slant] z [< or =, slant] 10, with 5% precision for k [< or =, slant] 1 h Mpc super(-1) at 0 [< or =, slant] z [< or =, slant] 10 and 10% for 1 [< or =, slant] k [< or =, slant] 10 h Mpc super(-1) at 0 [< or =, slant] z [< or =, slant] 3. We discuss the impact of the improved halofit model on weak-lensing power spectra and correlation functions, and show that the improved model better reproduces ray-tracing simulation results. |
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ISSN: | 0004-637X 1538-4357 |
DOI: | 10.1088/0004-637x/761/2/152 |